Decision-Making for Energy Network Dynamics

This project develops theory and algorithms for 0-1 decision making in optimization problems constrained by partial differential equations. By exploring extended formulations, it achieves new stationarity concepts through sequential exact and approximative relaxation of adjoint-based primal-dual optimality conditions.